[SciPy-user] How to draw a 3D graphic of a function?

[Joshua Lippai]

I can't import matplotlib.axes3d using a 0.98pre SVN build. Here's my output:

In [3]: from matplotlib import axes3d
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)

/Users/Josh/<ipython console> in <module>()

/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib/axes3d.py
in <module>()
     14 from axes import Axes
     15 import cbook
---> 16 from transforms import unit_bbox
     17
     18 import numpy as npy

ImportError: cannot import name unit_bbox

On Sun, Apr 13, 2008 at 12:22 AM, James A. Bednar <jbednar at inf.ed.ac.uk> wrote:
> |  Date: Fri, 11 Apr 2008 15:02:03 +0200
>  |  From: Gael Varoquaux <gael.varoquaux at normalesup.org>
>
> |
>  |  On Fri, Apr 11, 2008 at 08:57:50PM +0800, zhang chi wrote:
>  |  >  I want to draw a matrix of 100 X 100, its elements are the values of a function.
>  |
>  |  I suppose you want to map the value of your matrix to the altitude of a
>  |  surface?
>  |
>  |  You can do this with Mayavi2. Have a look at the user guide,
>
>  As shown below, you can also do this with matplotlib, which more
>  people will probably have installed. There was a suggestion that I add
>  this to the matplotlib cookbook, but I still haven't gotten a chance
>  to do so...
>
>  Jim
>
>  |  Date: Tue, 02 Oct 2007 04:56:56 -0400
>  |  From: Joe Harrington <jh at physics.ucf.edu>
>  |
>  |  Or, you could just do it with matplotlib...
>  |
>  |  http://physicsmajor.wordpress.com/2007/04/22/3d-surface-with-matplotlib/
>  |
>  |  This was the first hit on a google search for "matplotlib surface".  I
>  |  tested it and it works in 0.90.1.
>
>  Interesting!  I couldn't find any documentation at all, but after some
>  hacking on that script I was able to make matplotlib 0.90.1 plot a
>  wireframe surface for a 2D numpy array, so I thought it could be
>  useful to include the code (below).
>
>  Note that the original example uses plot_surface instead of
>  plot_wireframe, but I've found plot_surface to be quite buggy, with
>  plots disappearing entirely much of the time, while plot_wireframe has
>  been reliable so far.  There is also contour3D, though that doesn't
>  look very useful yet.  Hopefully these 3D plots will all be polished
>  up a bit and made public in a new matplotlib release soon!
>
>  Jim
>  _______________________________________________________________________________
>
>  import pylab
>  from numpy import outer,arange,cos,sin,ones,zeros,array
>  from matplotlib import axes3d
>
>  def matrixplot3d(mat,title=None):
>     fig = pylab.figure()
>     ax = axes3d.Axes3D(fig)
>
>     # Construct matrices for r and c values
>     rn,cn = mat.shape
>     c = outer(ones(rn),arange(cn*1.0))
>     r = outer(arange(rn*1.0),ones(cn))
>
>     ax.plot_wireframe(r,c,mat)
>
>     ax.set_xlabel('R')
>     ax.set_ylabel('C')
>     ax.set_zlabel('Value')
>
>     if title: windowtitle(title)
>     pylab.show()
>
>
>  matrixplot3d(array([[0.1,0.5,0.9],[0.2,0.1,0.0]]))
>
>
>  --
>  The University of Edinburgh is a charitable body, registered in
>  Scotland, with registration number SC005336.
>
>
>
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